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        Analyst Perspectives

        Workday held its first in-person Rising user group meeting since 2019 in Orlando. Three topics are worth commenting on: Workday’s Extend offering, its industry accelerators and its progress with the Workday Adaptive Planning offering.

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        Topics: Office of Finance, Business Planning, Financial Performance Management, ERP and Continuous Accounting

        In my first perspective on cloud computing realities, I covered some of the cost considerations associated with cloud computing and how the cloud costing model may be different enough from on-premises models that some organizations are taken by surprise. In this perspective. I’d like to focus on realities of hybrid and multi-cloud deployments.

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        Topics: Cloud Computing, Digital Technology

        Organizations are collecting data from multiple data sources and a variety of systems to enrich their analytics and business intelligence (BI). But collecting data is only half of the equation. As the data grows, it becomes challenging to find the right data at the right time. Many organizations can’t take full advantage of their data lakes because they don’t know what data actually exists. Also, there are more regulations and compliance requirements than ever before. It is critical for...

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        Topics: Business Intelligence, Data Governance, Data Management, data operations, AI and Machine Learning

        Kinaxis recently announced it has acquired a Netherlands-based company, MPO, a cloud-based software offering that orchestrates multiparty supply chain execution. The combination is designed to enable Kinaxis to extend its concurrent planning platform to handle core elements of supply chain execution. Kinaxis acquired all the shares of MPO for approximately US$45 million, with some of the final consideration dependent on performance. MPO will continue to operate as a standalone business, but...

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        Topics: Business Intelligence, Business Planning, Operations & Supply Chain, Enterprise Resource Planning, continuous supply chain, AI and Machine Learning

        The data catalog has become an integral component of organizational data strategies over the past decade, serving as a conduit for good data governance and facilitating self-service analytics initiatives. The data catalog has become so important, in fact, that it is easy to forget that just 10 years ago it did not exist in terms of a standalone product category. Metadata-based data management functionality has had a role to play within products for data governance and business intelligence for...

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        Topics: business intelligence, Data Governance, Data Management, Data, data operations, Analytics and Data

        I have written about vendor efforts to use artificial intelligence (AI) and advanced analytics in their applications targeted at sales and revenue teams to improve focus and prioritize activities, both for pipeline management as well as individual opportunities. Since then, vendors have continued to innovate, and there have been more releases showcasing efforts to aid sales and revenue. And with this continuing innovation, we believe that by 2026, two-thirds of revenue leaders will begin...

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        Topics: AI and Machine Learning

        Today’s contact centers need to revisit core assumptions around measuring agent performance. Changes in business conditions influencing agent engagement raise new questions about whether traditional performance models are sufficient to address the more complex customer needs that have taken center stage in recent years.

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        Topics: Customer Experience, Voice of the Customer, Contact Center, agent management

        Business intelligence has evolved. It now includes a spectrum of analytics, one of the most promising of which has been described as augmented intelligence. Some organizations have used the term to describe the practical reality that artificial intelligence with machine learning is not replacing human intelligence, but augmenting it. The term also represents the application of AI/ML to make business intelligence and analytics tools more powerful and easier to use. It’s this latter usage that I...

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        Topics: Analytics, Business Intelligence, natural language processing, Collaborative & Conversational Computing, Analytics and Data, AI and Machine Learning

        Organizations do not live in a vacuum and things happening outside their walls have a direct impact on how they perform. So, it is essential for them to incorporate external data in their forecasting, planning and budgeting, especially for predictive analytics and machine learning (ML) to support artificial intelligence (AI). I use the term external data to include any information about the world outside an organization (including economic and market statistics), competitors (such as pricing...

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        Topics: Office of Finance, Business Planning, Financial Performance Management, AI and Machine Learning

        Payroll Management is one of the six major focus areas in the Human Capital Management research and advisory practice at Ventana Research. “Continuous payroll” is a hot topic in this area, with much discussion about the always-on nature of this enhanced payroll function and its related demands for supporting technologies. Advancements in payroll technologies and practices have paved the way for off-cycle payroll transactions and pay modes – like earned wage access, for example – to become the...

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        Topics: Human Capital Management, Payroll Management

        Outbound communication is used in a number of different contexts. For potential customers, traditional telemarketing still exists, though it is limited these days due to its minimal effectiveness. Instead, many customer-experience planners have substituted digital outbound over voice for lead generation and nurturing campaigns. Customers find text messages in the channel of their choice to be much less intrusive, and they are considerably less expensive than having contact center agents reach...

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        Topics: Customer Experience, Voice of the Customer, Contact Center, agent management

        I recently wrote about the need for organizations to take a holistic approach to the management and governance of data in motion alongside data at rest. As adoption of streaming data and event processing increases, it is no longer sufficient for streaming data projects to exist in isolation. Data needs to be managed and governed regardless of whether it is processed in batch or as a stream of events. This requirement has resulted in established data management vendors increasing their focus on...

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        Topics: Big Data, Cloud Computing, Data Governance, Streaming Analytics, Streaming Data Events

        General Omar Bradley is credited with saying, “Amateurs study strategy, professionals study logistics.” This is a battlefield commander’s perspective on the often-overlooked importance of mastering the nitty-gritty in achieving military objectives. I think the same is true when it comes to data in business computing because, in my experience, it is often an overlooked or secondary consideration.

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        Topics: Office of Finance, Digital Commerce, ERP and Continuous Accounting

        You would be forgiven for thinking that no one buys anything in person any more given the pages of digital ink spilled over the rise of digital commerce led by the rise and rise of Amazon. However, one quick errand run on a Saturday morning would easily give lie to this, as parking lots are full, not just at grocery stores but for everyday retail as well as big box stores. Likewise, in business-to-business (B2B) commerce, despite the advertised demise, person-to-person sales are still a major...

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        Topics: Digital Commerce, Subscription Management, Office of Revenue

        People analytics enable organizations to gain data-driven insights that optimize the impact and value of the workforce. For decades, human capital management (HCM) leaders have been sold tools marketed as analytics that were no more than dashboards filled with nice visualizations of historic data with no context as to what each individual data point meant to their strategic objectives and initiatives. And yet, our recent Analytics and Data Benchmark Research shows that 83% of organizations...

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        Topics: Human Capital Management, Workforce Management, analytic data platforms

        Zoho presented analysts with a deep look at its strategy and roadmap at its July analyst conference, describing how it intends to meld its many business applications together through integration at the level of the platform. The company, which is privately owned and funded, has generally sought to build its own tools rather than buy or partner. This approach has allowed the firm to create a suite of tightly linked tools that share a common interface.

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        Topics: Customer Experience, Voice of the Customer, Data, AI and Machine Learning

        The migration to cloud is obvious. Organizations are adopting cloud computing for all variety of applications and use cases. Managed cloud services, commonly referred to as software as a service (SaaS), offer many benefits to organizations including significantly reduced labor costs for system administration and maintenance, as many of these costs are shifted to the software vendor. SaaS also provides organizations with faster time to value as they adopt new technologies by eliminating the need...

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        Topics: Cloud Computing, Digital Technology

        The lockdowns of 2020 forced accounting departments to adapt to managing their close-to-report cycle without face-to-face contact, prompting many to adopt digital technologies to facilitate the process. It gave further impetus to the digital transformation of the department, which aims to eliminate unnecessary manual tasks such as consolidations and reconciliations using software automation. And, rather than looking at the close as a set of discrete tasks, Controllers and CFOs increasingly are...

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        Topics: Office of Finance, ERP and Continuous Accounting

        I have written recently about increased demand for data-intensive applications infused with the results of analytic processes, such as personalization and artificial intelligence (AI)-driven recommendations. Almost one-quarter of respondents (22%) to Ventana Research’s Analytics and Data Benchmark Research are currently analyzing data in real time, with an additional 10% analyzing data every hour. There are multiple data platform approaches to delivering real-time data processing and analytics...

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        Topics: Cloud Computing, Data, Streaming Analytics, Streaming Data Events, analytic data platforms, Analytics and Data

        Organizations are managing and analyzing large datasets every day, identifying patterns and generating insights to inform decisions. This can provide numerous benefits for an organization, such as improved operational efficiency, cost optimization, fraud detection, competitive advantage and enhanced business processes. By bringing the right, actionable data to the right user, organizations can potentially speed up processes and make more effective operational decisions.

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        Topics: embedded analytics, Business Intelligence, Internet of Things, Streaming Analytics, AI and Machine Learning

        Especially in the United States, baby boomer retirements and fewer graduates with accounting degrees is posing a growing challenge to finance department executives in attracting and retaining the best accounting talent. The solution, which may not seem obvious, is to make accounting cool, again.

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        Topics: Office of Finance, Financial Performance Management, ERP and Continuous Accounting

        It has been nearly two and a half years since the world was thrust into one of the most dramatic eras of workforce transformation in the modern era. Organizations have been forced to reevaluate everything about the workforce, from the physical spaces in which work is done, to compensation, to non-traditional benefits and work/life enhancement offerings. Even so, many continue to struggle to attract and retain the right talent to support operational needs. As leaders continue to redesign how...

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        Topics: Human Capital Management, Talent Management

        When I looked at the state of analytics recently, it was clear that analytics are not as widely deployed within organizations as they should be. Only 23% of participants in our Analytics and Data Benchmark Research reported that more than one-half of their organization’s workforce are using analytics. There are many elements to becoming a data-driven organization, as my colleague Matt Aslett points out, but analytics are a necessary component. Our research shows that organizations recognize the...

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        Topics: embedded analytics, Analytics, Analytics and Data

        “Digital finance transformation” became an even more important topic over the past two years as finance and accounting departments have had to cope with an unrelenting set of new challenges that have had a profound impact on business operations, financial markets and regulatory environments. Digital technologies enable organizations to cope with change and improve performance by increasing efficiency, reducing risk, achieving greater visibility into opportunities, shortening process cycles and...

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        Topics: Office of Finance, Financial Performance Management, ERP and Continuous Accounting

        I recently noted that as demand for real-time interactive applications becomes more pervasive, the use of streaming data is becoming more mainstream. Streaming data and event processing has been part of the data landscape for many decades, but for much of that time, data streaming was a niche activity. Although adopted in industry segments with high-performance, real-time data processing and analytics requirements such as financial services and telecommunications, data streaming was far less...

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        Topics: Big Data, Data, Streaming Analytics, Streaming Data Events, Analytics and Data

        The analytics and business intelligence market landscape continues to grow as more organizations seek robust tools and capabilities to visualize and better understand data. BI systems are used to perform data analysis, identify market trends and opportunities and streamline business processes. They can collect and combine data from internal and external systems to present a holistic view.

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        Topics: Analytics, Business Intelligence, Data Governance, Data Management, Analytics and Data, AI and Machine Learning

        The applicant tracking system, for all its shortcomings, revolutionized the way people found and applied for jobs when it first hit the market in the mid-1990s. Electronic applications quickly became the norm, resume or application review became more accessible for hiring teams and compliance was much more trackable and achievable, thanks to streamlined application processes. Today, tracking and compliance aren’t enough to power the complex world of recruitment. The Great Resignation has made...

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        Topics: Human Capital Management, Talent Management

        Anaplan offers a cloud-based business planning platform that incorporates a modeling and calculation engine. The tool makes it relatively easy to add or expand the scope of plans that can be connected and monitored on a single platform. This Integrated Business Planning (IBP) approach enables organizations to use the software for financial planning or budgeting, sales, supply chain, workforce, marketing and IT planning. These are the types of plans in which companies often need to create models...

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        Topics: Office of Finance, Continuous Planning, Business Intelligence, Business Planning, Financial Performance Management, continuous supply chain, AI and Machine Learning

        I have recently written about the importance of healthy data pipelines to ensure data is integrated and processed in the sequence required to generate business intelligence, and the need for data pipelines to be agile in the context of real-time data processing requirements. Data engineers, who are responsible for monitoring, managing and maintaining data pipelines, are under increasing pressure to deliver high-performance and flexible data integration and processing pipelines that are capable...

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        Topics: Big Data, Cloud Computing, Data Management, Data, data operations

        The contact center industry is reexamining how organizations engage with contact center agents. One thing that we learned from the forced movement to work-from-home was that organizations have to provide agents with appropriate tools to collaborate and communicate with peers and supervisors as well as workers in the back office who participate in all sorts of customer-facing or customer-adjacent processes. It is also important to provide supervisors with visibility into agent activity. That...

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        Topics: Customer Experience, Voice of the Customer, Contact Center, agent management

        I recently explained how emerging application requirements were expanding the range of use cases for NoSQL databases, increasing adoption based on the availability of enhanced functionality. These intelligent applications require a close relationship between operational data platforms and the output of data science and machine learning projects. This ensures that machine learning and predictive analytics initiatives are not only developed and trained based on the relationships inherent in...

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        Topics: Business Intelligence, Data, analytic data platforms, AI and Machine Learning

        Environmental, social and governance issues have grown increasingly pressing over the past few years as investors and government entities urge organizations to measure and disclose ESG metrics. I’ve already covered the broader topic as it relates to external reporting and how financial planning and analysis groups are likely to own this mandate going forward. (It’s mainly been a marketing and public relations effort up to now.) FP&A departments are also likely to be charged with responsibility...

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        Topics: FP&A, Office of Finance, ESG

        I often use the term “analytics” to refer to a broad set of capabilities, deliberately broader than business intelligence. In this Perspective, I’d like to share what decision-makers should consider as they evaluate the range of analytics requirements for their organization.

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        Topics: Business Intelligence, natural language processing, Streaming Analytics, Analytics and Data, AI and Machine Learning

        I spent years in the talent acquisition space, and I think that at least several months of that time – cumulatively – was spent just trying to get people to calm down. Talent acquisition is a critically important business process, but if I had a dollar for every time I had to remind someone that there really are no recruiting emergencies, I’d be a wealthy woman.

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        Topics: Human Capital Management, HR technology, HR/Payroll, Payroll Management, employee experience

        Streaming data has been part of the industry landscape for decades but has largely been focused on niche applications in segments with the highest real-time data processing and analytics performance requirements, such as financial services and telecommunications. As demand for real-time interactive applications becomes more pervasive, streaming data is becoming a more mainstream pursuit, aided by the proliferation of open-source streaming data and event technologies, which have lowered the cost...

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        Topics: Data, Streaming Analytics, Streaming Data Events

        Field service is a segment of customer experience that is dominated by two elements: the complexity of the issues handled, and the high cost of providing on-site services. It is recognized as a critical component of the service experience, especially when managing the condition of high-precision equipment in the medical, manufacturing and utility industries. It is also a high-risk moment in the customer life cycle. Consumers often experience the process as a series of disconnected visits and...

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        Topics: Customer Experience, Voice of the Customer, Contact Center, agent management

        Organizations are collecting vast amounts of data every day, utilizing business intelligence software and data visualization to gain insights and identify patterns and errors in the data. Making sense of these patterns can enable an organization to gain an edge in the marketplace and plan more strategically.

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        Topics: embedded analytics, Analytics, Business Intelligence, AI and Machine Learning

        Although the digital transformation of the finance department was a topic of discussion before 2020, it became a front-and-center issue as organizations locked down and in-office interactions became impossible. Finance and accounting departments were immediately confronted with a challenge because of their limited adoption of technology that would support a virtual working environment. As our 2019 Office of Finance Benchmark Research found, they are technological laggards: 45% are at the...

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        Topics: Office of Finance, Financial Performance Management, ERP and Continuous Accounting

        When joining Ventana Research, I noted that the need to be more data-driven has become a mantra among large and small organizations alike. Data-driven organizations stand to gain competitive advantage, responding faster to worker and customer demands for more innovative, data-rich applications and personalized experiences. Being data-driven is clearly something to aspire to. However, it is also a somewhat vague concept without clear definition. We know data-driven organizations when we see them...

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        Topics: embedded analytics, Analytics, Business Intelligence, Data Governance, Data Integration, Data, Digital Technology, natural language processing, data lakes, data operations, Streaming Analytics, Streaming Data Events, Analytics and Data, AI and Machine Learning

        Since its inception 20 years ago, Ventana Research has advocated for a shorter accounting close because it can improve the performance of the entire organization, not just finance and accounting. An important benefit of a shorter close is increased staff time for analysis and the preparation of reports and narratives that improve communications with the board and outside investors. Similarly, the department can provide those in operating roles the financial and managerial accounting results to...

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        Topics: Office of Finance, Financial Performance Management, ERP and Continuous Accounting

        There are more digital channels in the commerce space than ever before: the web, mobile apps, text, voice-activated “agents,” video and social channels. Conversational computing and hyper-personalization are transforming customer engagement, and organizations may need to undergo a digital platform renovation to optimize customer and product experiences or risk lagging behind competitors. B2B selling and buying are increasingly using methods similar to B2C digital approaches to mirror the...

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        Topics: Digital Commerce, Office of Revenue

        We’ve recently published our latest Benchmark Research on Data Governance and it’s fair to say, “you’ve come a long way, baby.” Many of you reading this weren’t around when that phrase was introduced in 1968 to promote Virginia Slims cigarettes, but you may have heard the phrase because it went on to become a part of popular culture. We’ve learned a lot about cigarettes since then, and we’ve learned a lot about data governance, too.

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        Topics: Big Data, Data Governance, Data Management, Analytics and Data

        In my more than two decades in the world of human resources and human capital management technology, I have never seen a topic become so completely ubiquitous so quickly as has employee experience. This is great news from my perspective. As I addressed in this recent analyst perspective, market factors have forced organizations to acknowledge the tremendous bottom-line value of an engaged workforce, and that engagement is wholly dependent upon an employer's commitment to providing a...

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        Topics: Human Capital Management, employee experience, Digital Innovation Awards

        We conducted our recent Smart Close Dynamic Insights Research in part to assess to what extent the substantial disruptions of the pandemic have impacted the accounting close. When office lockdowns began in the first quarter of 2020, many finance departments were challenged by having to do their quarterly close remotely without their normal face-to-face interactions. In the United States, the Securities and Exchange Commission was so concerned that corporations would be unable to meet their...

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        Topics: Office of Finance, Financial Performance Management, ERP and Continuous Accounting

        OneStream offers a platform designed to serve the needs of accounting and financial planning and analysis organizations. The software handles financial close and consolidation, planning and budgeting, analysis and reporting. For me, the most significant announcement at the company’s recent user conference was the unveiling of its Sensible ML (Machine Learning) offering, which is in limited general release. I’ve commented on the importance of artificial intelligence in business applications, and...

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        Topics: Business Planning, Financial Performance Management, ERP and Continuous Accounting, AI and Machine Learning

        I recently wrote about the growing range of use cases for which NoSQL databases can be considered, given increased breadth and depth of functionality available from providers of the various non-relational data platforms. As I noted, one category of NoSQL databases — graph databases — are inherently suitable for use cases that rely on relationships, such as social media, fraud detection and recommendation engines, since the graph data model represents the entities and values and also the...

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        Topics: business intelligence, Analytics, Cloud Computing, Data, Digital Technology, Analytics and Data, AI and Machine Learning

        “Lead to cash” is an often-used term and is a companion to “quote to cash” and “order to cash”. What they all represent is an approach which recognizes that there is a process designed to convert a lead from a qualified interest to an active sale, through quote and contract negotiation, to order or contract, invoice and payment. “Quote to cash” and “order to cash” are subsets of this process, with different starting places, but ultimately end in the same place: with a payment for a delivered...

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        Topics: Office of Revenue

        A few years ago – somewhat tongue in cheek – I began using the term “data pantry” to describe a type of data store that’s part of a business application platform, created for a specific set of users and use cases. It’s a data pantry because, unlike a general-purpose data store such as a data warehouse, everything the user needs is readily available and easily accessible, with labels that are immediately recognized and understood.

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        Topics: Data Management, Business Planning, Financial Performance Management, ERP and Continuous Accounting, AI and Machine Learning

        Organizations are continuously increasing the use of analytics and business intelligence to turn data into meaningful and actionable insights. Our Analytics and Data Benchmark Research shows some of the benefits of using analytics: Improved efficiency in business processes, improved communication and gaining a competitive edge in the market top the list. With a unified BI system, organizations can have a comprehensive view of all organizational data to better manage processes and identify...

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        Topics: business intelligence, embedded analytics, Data Governance, Data Management, natural language processing, data operations, Streaming Analytics, AI and Machine Learning

        I previously described the concept of hydroanalytic data platforms, which combine the structured data processing and analytics acceleration capabilities associated with data warehousing with the low-cost and multi-structured data storage advantages of the data lake. One of the key enablers of this approach is interactive SQL query engine functionality, which facilitates the use of existing business intelligence (BI) and data science tools to analyze data in data lakes. Interactive SQL query...

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        Topics: Analytics, Business Intelligence, Cloud Computing, Data, Digital Technology, data lakes, data operations, Analytics and Data, AI and Machine Learning

        I’ve never been a fan of talking about semantic models because most of the workforce probably doesn’t understand what they are, or doesn’t recognize them by name. But the findings in our recent Analytics and Data Benchmark Research have changed my mind. The research shows how important a semantic model can be to the success of data and analytics processes. Organizations that have successfully implemented a semantic model are more than twice as likely to report satisfaction with analytics (77%)...

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        Topics: Business Intelligence, Data Management, data operations, Analytics and Data, AI and Machine Learning

        Artificial intelligence using machine learning has passed through the bright, shiny object stage and software vendors are well into the process of making the concept a reality in their offerings. Ventana Research defines AI as the use of technology to process information in much the way humans do, including improving accuracy in recommendations, actions and conclusions as more data is received. I like the alternative term “augmented intelligence” because it emphasizes that these systems enhance...

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        Topics: Planning, Machine Learning, Budgeting, Business Planning, Financial Performance Management, forecasting, AI and Machine Learning

        I previously explained how the data lakehouse is one of two primary approaches being adopted to deliver what I have called a hydroanalytic data platform. Hydroanalytics involves the combination of data warehouse and data lake functionality to enable and accelerate analysis of data in cloud storage services. The term data lakehouse has been rapidly adopted by several vendors in recent years to describe an environment in which data warehousing functionality is integrated into the data lake...

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        Topics: business intelligence, Analytics, Data, data lakes

        Compensation management is a key talent management process involving all workers and managers within an organization. Determining and providing the appropriate compensation for each person — whether it involves base pay, merit pay, or variable pay and incentives such as bonuses — is critical to being able to attract and retain productive members of the workforce, including full- and part-time employees, contingent workers and contractors. The complexities of compensation often prove to be a...

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        Topics: Human Capital Management, Total Compensation Management

        Organizations are constantly trying to streamline and optimize business data to solve complex problems and identify opportunities to increase revenue and accelerate business growth. The data is usually stored in multiple systems with various data governance rules, which makes it complicated to democratize data and analytics within an organization. The most pressing concerns cited by participants in our Analytics and Data Benchmark Research include difficulty integrating with business processes,...

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        Topics: Domo, BI platform

        As I recently described, it is anticipated that the majority of database workloads will continue to be served by specialist data platforms targeting operational and analytic workloads, albeit with growing demand for hybrid data processing use-cases and functionality. Specialist operational and analytic data platforms have historically been the since preferred option, but there have always been general-purpose databases that could be used for both analytic and operational workloads, with tuning...

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        Topics: Analytics, Business Intelligence, Cloud Computing, Data, Digital Technology, Analytics and Data

        Organizations are scaling business intelligence initiatives to gain a competitive advantage and increase revenue as more data is created. Lack of expertise, data governance and slow performance can impact these efforts. Our Analytics and Data Benchmark Research finds some of the most pressing complaints about analytics and BI include difficulty integrating with other business processes and flexibility issues. Kyvos is a BI acceleration platform that enables BI and analytics tools to analyze...

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        Topics: Business Intelligence, Data Governance

        I recently wrote about the potential benefits of data mesh. As I noted, data mesh is not a product that can be acquired, or even a technical architecture that can be built. It’s an organizational and cultural approach to data ownership, access and governance. While the concept of data mesh is agnostic to the technology used to implement it, technology is clearly an enabler for data mesh. For many organizations, new technological investment and evolution will be required to facilitate adoption...

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        Topics: Analytics, Business Intelligence, Data Governance, Data Integration, Data, data operations, Streaming Data Events, AI and Machine Learning

        At Enterprise Connect in March, Amazon announced new functionality in its cloud contact center platform, Amazon Connect. The company is now including a full Workforce Optimization component, which includes built-in forecasting, capacity planning and scheduling capabilities. It's no surprise that Amazon is adding these capabilities, as WFO has become a core component of a complete CCaaS platform.

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        Topics: Customer Experience, Contact Center

        Kinaxis is a sales and operation planning software company headquartered in Ottawa, Canada. Its RapidResponse is an S&OP platform for concurrent planning, designed to integrate an organization’s supply chain planning silos, accelerate planning cycles and optimize supply chain execution to match customer demand.

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        Topics: Continuous Planning, Business Planning, Operations & Supply Chain, Enterprise Resource Planning, continuous supply chain

        I recently described the use cases driving interest in hybrid data processing capabilities that enable analysis of data in an operational data platform without impacting operational application performance or requiring data to be extracted to an external analytic data platform. Hybrid data processing functionality is becoming increasingly attractive to aid the development of intelligent applications infused with personalization and artificial intelligence-driven recommendations. These...

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        Topics: Analytics, Business Intelligence, Cloud Computing, Data, Digital Technology, Analytics and Data, AI and Machine Learning

        There is a fundamental flaw in information technology, or at least in the way it is most commonly delivered. Most technology systems are developed under the assumption that all people will use the system primarily in the same way. Sure, there are some options built in — perhaps the same action can be initiated by either clicking on a button, selecting a menu item or invoking a keyboard short-cut. The problem is that when every variation needs to be coded into the system, the prospect of...

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        Topics: Business Intelligence, Data Management, natural language processing, data operations, Analytics and Data, AI and Machine Learning

        The data governance landscape is growing rapidly. Organizations handling vast amounts of data face multiple challenges as more regulations are added to govern sensitive information. Adoption of multi-cloud strategies increases governance concerns with new data sources that are accessed in real time. Our Data Governance Benchmark Research shows that organizations face multiple challenges when deploying data governance. Three-quarters (73%) of organizations report disparate data sources as the...

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        Topics: Data Governance, Data Management, data operations

        Personalization is everywhere, from clothes that are selected for us and delivered to our homes, to the ads we see, to the movies we stream. It’s no surprise that employees expect that same level of curated experience in the workplace. And yet, evidence abounds to the contrary. The proverbial black hole of recruiting is still the bane of existence of everyone who has applied for a job online and has heard nothing back. Companies still tout “self-directed career advancement” as a positive...

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        The server is a key component of enterprise computing, providing the functional compute resources required to support software applications. Historically, the server was so fundamentally important that it – along with the processor, or processor core – was also a definitional unit by which software was measured, priced and sold. That changed with the advent of cloud-based service delivery and consumption models.

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        Topics: Business Continuity, Cloud Computing, Data, Digital Technology, Analytics and Data

        Many – myself included – have written about the growth in technologies designed to aid in business-to-business sales and sales management by serving sales reps, line managers, executives and operations. But one area that has been ill-served is technical presales, or sales engineering. You may ask why this should matter. Aren’t presales engineers all about demonstrations? How could technology – beyond video conferencing – help?

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        Topics: Office of Revenue

        Organizations need to use external data in planning and budgeting, both data and third-party forecasts. This need also extends to external data in training artificial intelligence systems to assist in planning and for predictive analytics. Companies do not live in a vacuum and things occurring outside physical facilities have a direct impact on how an organization performs. Incorporating external data and third-party forecasts in any systemic fashion is really only practical if you’re using...

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        Topics: Office of Finance, Business Planning, Financial Performance Management

        Over a decade ago, I coined the term NewSQL to describe the new breed of horizontally scalable, relational database products. The term was adopted by a variety of vendors that sought to combine the transactional consistency of the relational database model with elastic, cloud-native scalability. Many of the early NewSQL vendors struggled to gain traction, however, and were either acquired or ceased operations before they could make an impact in the crowded operational data platforms market....

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        Topics: Business Continuity, Cloud Computing, Data, Digital Technology, Analytics and Data

        Contact centers are undergoing a radical reshuffling of the workforce, partly because the pandemic shifted agents to remote work. But the trends were in place to reorganize the world of work long before the pandemic. Digital contact channels, which are gaining in popularity, require workers that are better informed and capable of handling more complex and interdependent interactions and processes. That’s changing the nature of training, management and even process design between departments.

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        Topics: Customer Experience, Voice of the Customer, Contact Center, agent management

        Sage recently announced that it is expanding its Sage Intacct software offering to support discrete manufacturing, with its initial foray into this competitive market centered in France. The move supports the company’s strategy of building out the scope of industries served by its cloud applications to include product-oriented business models and expanding Sage Intacct’s geographic footprint. The company has been extending the functionality it offers customers with human capital management as...

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        Topics: Office of Finance, ERP and Continuous Accounting

        I recently described how the operational data platforms sector is in a state of flux. There are multiple trends at play, including the increasing need for hybrid and multicloud data platforms, the evolution of NoSQL database functionality and applicable use-cases, and the drivers for hybrid data processing. The past decade has seen significant change in the emergence of new vendors, data models and architectures as well as new deployment and consumption approaches. As organizations adopted...

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        Topics: business intelligence, Analytics, Data Integration, Data, AI and Machine Learning

        Customer Service and Support (CSS) software is about more than case tracking and trouble tickets. Many organizations view the service call as an opportunity to solidify a positive customer relationship and perhaps enhance the loyalty and value of the customer. That has propelled interest in the emphasis on workflows and automation that now/currently drives CSS, particularly when it comes to managing self-service and field service, and the ability to provide agents with contextually relevant...

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        Topics: Customer Experience, Voice of the Customer, Contact Center

        I first wrote about a new era of trade a few years ago to make the point that the period of optimizing supply chains for the lowest cost was over, and that companies needed to redesign them to achieve greater resiliency. That observation proved correct. Now we are hearing about “the end of globalization,” a hyperbolic phrase describing the effects of ongoing changes to the international political order that have been underway for more than a decade. These changes are forcing companies to make...

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        Topics: Continuous Planning, Business Planning, Financial Performance Management, Enterprise Resource Planning, ERP and Continuous Accounting, continuous supply chain

        Organizations have been using data virtualization to collect and integrate data from various sources, and in different formats, to create a single source of truth without redundancy or overlap, thus improving and accelerating decision-making giving them a competitive advantage in the market. Our research shows that data virtualization is popular in the big data world. One-quarter (27%) of participants in our Data Lake Dynamic Insights Research reported they were currently using data...

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        Topics: embedded analytics, Analytics, Business Intelligence, Streaming Analytics, AI and Machine Learning

        I recently wrote about the importance of data pipelines and the role they play in transporting data between the stages of data processing and analytics. Healthy data pipelines are necessary to ensure data is integrated and processed in the sequence required to generate business intelligence. The concept of the data pipeline is nothing new of course, but it is becoming increasingly important as organizations adapt data management processes to be more data driven.

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        Topics: Analytics, Business Intelligence, Data Governance, Data Integration, Data, Digital Technology, Digital transformation, data lakes, data operations, Streaming Data Events, Analytics and Data, AI and Machine Learning

        Data governance is an issue that impacts all organizations large and small, new and old, in every industry, and every region of the world. Data governance ensures that an organization’s data can be cataloged, trusted and protected, improving business processes to accelerate analytics initiatives and support compliance with regulatory requirements. Not all data governance initiatives will be driven by regulatory compliance; however, the risk of falling foul of privacy (and human rights) laws...

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        Topics: Analytics, Data Governance, Data

        Although the bulk of contact center seats are still served by on-premises equipment, there appears to be a consensus that the cloud is better suited to delivering a successful, omnichannel customer experience, and that most new contact center deployments will be run on cloud-computing platforms.

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        Topics: Contact Center, CCaaS

        I recently described the growing level of interest in data mesh which provides an organizational and cultural approach to data ownership, access and governance that facilitates distributed data processing. As I stated in my Analyst Perspective, data mesh is not a product that can be acquired or even a technical architecture that can be built. Adopting the data mesh approach is dependent on people and process change to overcome traditional reliance on centralized ownership of data and...

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        Topics: Business Continuity, Analytics, Business Intelligence, Data Governance, Data Integration, Data, Digital Technology, data lakes, Analytics and Data

        How payments are effected is an afterthought to many involved in a transaction, but flaws in this process can be a source of pain and frustration for those in the back office, especially in accounting and treasury. To improve the way payments are handled in business-to-business transactions, the once ubiquitous paper checks are giving way to electronic payments. This category includes credit, debit and virtual cards, wire transfers, as well as ACH (Automated Clearing House) transmissions that...

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        Ventana Research is happy to share insights gleaned from the latest Value Index research, an assessment of how well vendors’ offerings meet buyers’ requirements. The 2022 Revenue Performance Management (RPM) Value Index is the distillation of a year of market and product research. Drawing on our Benchmark Research, we apply a structured methodology built on evaluation categories that reflect the real-world criteria incorporated in a request for proposal to vendors supporting the spectrum of...

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        Topics: Sales, Sales Performance Management (SPM), Price and Revenue Management, sales enablement, Revenue Performance Management

        I have written previously that the world of data and analytics will become more and more centered around real-time, streaming data. Data is created constantly and increasingly is being collected simultaneously. Technology advances now enable organizations to process and analyze information as it is being collected to respond in real time to opportunities and threats. Not all use cases require real-time analysis and response, but many do, including multiple use cases that can improve customer...

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        Topics: business intelligence, Analytics, Internet of Things, Data, Digital Technology, Streaming Analytics, Streaming Data Events, Analytics and Data, AI and Machine Learning

        As organizations shift focus to a broader definition of sales that includes all sources of revenue, vendors are also pivoting to include “revenue” as part of promotional messaging. But it’s my view that just changing your message or description does not necessarily deliver the capabilities and product experiences customers need to successfully plan, execute and achieve revenue targets and objectives. The just-completed 2022 Ventana Research Value Index for Revenue Performance Management...

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        Topics: Revenue Performance Management

        The term "corporate spend" usually refers to the incidental but still significant outlays organizations make to support operations. Especially in nonmanufacturing industries, purchases of indirect goods and business services – such as computers, office supplies, furniture and services – as well as travel and entertainment can represent a significant percentage of total costs. Technology has evolved to the point where executives – especially the chief financial officer – need to take an...

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        Topics: ERP, Financial Performance Management (FPM)

        Data mesh is the latest trend to grip the data and analytics sector. The term has been rapidly adopted by numerous vendors — as well as a growing number of organizations —as a means of embracing distributed data processing. Understanding and adopting data mesh remains a challenge, however. Data mesh is not a product that can be acquired, or even a technical architecture that can be built. It is an organizational and cultural approach to data ownership, access and governance. Adopting data mesh...

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        Topics: Analytics, Business Intelligence, Data Governance, Data Integration, Data, Digital Technology, Digital transformation, data lakes, data operations, Streaming Data Events, Analytics and Data

        Ventana Research defines subscription management as the processes and technology needed to manage the subscriber experience from the first digital touch to the continuous modifications of orders for services and billing. Effective subscription management requires a new generation of applications designed to manage the life cycle of subscriptions and provide subscribers with the experiences they expect. The subscription business model has grown in popularity across many industries, and for many...

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        Topics: Subscription Management

        Today’s contact center agents find themselves handling increasingly more complex interactions due to changes in consumer demand, advances in self-service and the proliferation of digital contact channels. This added complexity requires continuous agent support for successful customer experience outcomes. Intelligent software can reduce agent workload and improve customer interactions by picking up customer cues.

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        Topics: Customer Experience, Contact Center, AI

        For years, maybe decades, we have heard about the struggles between IT and line-of-business functions. In this perspective, we will look at some of the data from our Analytics and Data Benchmark Research about the roles of IT and line-of-business teams in analytics and data processes. We will also look at some of the disconnects between these two groups. And, by looking at how organizations are operating today and the results they are achieving, we can discern some of the best practices for...

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        Topics: Analytics, Business Intelligence, Data, Digital Technology, Analytics and Data, AI and Machine Learning

        Ventana Research recently published the results of our Business Planning Value Index Research and I commented on its connection to our emphasis on using software to unify planning processes across an enterprise to improve performance. Since 2007, we have advocated what we call Integrated Business Planning (IBP): a high-participation, collaborative, action-oriented approach to planning and budgeting built on frequent, short planning sprints. Short planning cycles enable companies to achieve...

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        Topics: Business Planning, Finance Performance Management

        Despite widespread and increasing use of the cloud for data and analytics workloads, it has become clear in recent years that, for most organizations, a proportion of data-processing workloads will remain on-premises in centralized data centers or distributed-edge processing infrastructure. As we recently noted, as compute and storage are distributed across a hybrid and multi-cloud architecture, so, too, is the data it stores and relies upon. This presents challenges for organizations to...

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        Topics: Analytics, Business Intelligence, Data Governance, Data, data operations, AI and Machine Learning

        Digital Transformation. The Subscription Economy. Omni-Channel Selling. Customer Centric. These are all terms used to label trends and events that are changing the way business is being conducted, a change that has accelerated due to recent events. Regardless of the terminology, there is no doubt that the way vendors and buyers are interacting, whether B2C or B2B, is different today for many organizations than it was even five years ago. But to be fair, no technology on its own can transform...

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        Topics: Sales, Digital Commerce, Subscription Management, partner management

        The technology underpinning customer experience (CX) is a hodgepodge of tools that have been developed for niche use cases and then expanded to fill broader roles. Examples include the old (CRM, help desk software and speech analytics) and the new (customer data platforms and conversational AI). This is because CX is a set of very specialized processes that happen in different parts of the enterprise, managed by people who often do not connect with peers handling related processes....

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        Topics: Customer Experience, Marketing, Marketing Performance Management, Voice of the Customer, Contact Center, Product Information Management, Digital Marketing, agent management, intelligent marketing, Digital Experience Platform

        Organizations face various challenges with analytics and business intelligence processes, including data curation and modeling across disparate sources and data warehouses, maintaining data quality and ensuring security and governance. Traditional processes are slow when transforming large and diverse datasets into something which is easily consumable in BI. And, it can take days or weeks to create reports and dashboards — maybe longer if processes change and new data sources are introduced....

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        Topics: Big Data, Analytics, Business Intelligence

        Value-added tax is a type of levy that is applied at each step of a transaction chain, from basic inputs to the final good or service. The amount assessed is based on the value added by an organization (hence the name) when a transaction occurs. VAT is used throughout the world because, historically, it has been harder to evade compared to income taxes. VAT is a common method of national taxation: Approximately 85% of countries impose it worldwide. A notable exception is the United States,...

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        Topics: Office of Finance, Tax, VAT

        I recently examined how evolving functionality had fueled the adoption of NoSQL databases, recommending that organizations evaluate NoSQL databases when assessing options for data transformation and modernization efforts. This recommendation was based on the breadth and depth of functionality offered by NoSQL database providers today, which has expanded the range of use cases for which NoSQL databases are potentially viable. There remain a significant number of organizations that have not...

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        Topics: NoSQL, Data

        Today, organizations understand the importance of good external data that can be integrated with internal data to train machine learning models. Our Machine Learning Dynamic Insights research showed that external data adds a significant value in gaining competitive advantage, improving customer experience and increasing sales. But getting the right external data for a particular requirement is not always easy. Internal data is usually not enough to train different models because of its narrow...

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        I recently attended an analyst conference held by Unit4, an enterprise resource planning vendor focused on midsize organizations in people-centric industries. The conference was intended to communicate the company’s strategy, product updates and roadmap. The meeting took place shortly after announcement of the availability of Unit4 Industry Mesh and the acquisition of Compright, which does compensation planning as well as in the context of the broad technology shifts affecting ERP applications.

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        Topics: Human Capital Management, Office of Finance, Business Planning, Talent Management, Financial Performance Management, ERP and Continuous Accounting, Total Compensation Management

        The various NoSQL databases have become a staple of the data platforms landscape since the term entered the IT industry lexicon in 2009 to describe a new generation of non-relational databases. While NoSQL began as a ragtag collection of loosely affiliated, open-source database projects, several commercial NoSQL database providers are now established as credible alternatives to the various relational database providers, while all the major cloud providers and relational database giants now also...

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        Topics: Analytics, Data, AI and Machine Learning

        Software that automates the full scope of the accounting close, including reconciliations, consolidation and reporting, has grown more capable and affordable over the past five years. By enabling consistent process management that captures best practices, and by automating rote, repetitive activities to boost staff productivity, these applications enable organizations to shorten the close, make the process more efficient and reduce the risk of material errors by strengthening accounting...

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        Topics: Office of Finance, Financial Performance Management (FPM), ERP and Continuous Accounting

        Natural language processing (NLP) is a field that combines artificial intelligence (AI), data science and linguistics that enables computers to understand, interpret and manipulate text or spoken words. NLP includes generating narratives based on a set of data values, using text or speech as inputs to access information, and analysing text or speech, for instance, to determine its sentiment. There are various techniques for interpreting human language, ranging from statistical and machine...

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        Topics: Big Data, Analytics, natural language processing, NLP

        As businesses become more data-driven, they are increasingly dependent on the quality of their data and the reliability of their data pipelines. Making decisions based on data does not guarantee success, especially if the business cannot ensure that the data is accurate and trustworthy. While there is potential value in capturing all data — good or bad — making decisions based on low-quality data may do more harm than good.

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        Topics: Data Governance, Data Integration, Data, Digital Technology, data lakes, data operations, Analytics and Data
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